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Climate variables are not the dominant predictor of Arctic shorebird distributions.

• Authors : Anderson CM; Department of Biology, Geomatics and Landscape Ecology Laboratory, Carleton University, Ottawa, ON, Canada.; Fahrig L

Subjects: Ecosystem* ; Climate Change*; Humans

• Source: PloS one [PLoS One] 2023 May 17; Vol. 18 (5), pp. e0285115. Date of Electronic Publication: 2023 May 17 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Spatiotemporal Dynamics of Carbon Storage in Utah: Insights from Remote Sensing and Climate Variables.

• Authors : Uyar, Nehir¹ (AUTHOR)

• Source: Sustainability (2071-1050). Mar2025, Vol. 17 Issue 5, p1976. 26p.

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Modeling the distribution of cultural ecosystem services based on future climate variables under different scenarios

• Authors : Chang You; Hongjiao Qu; Lun Yin

Subjects: Climate change; Cultural ecosystem services; Prediction

• Source: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

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ارزیابی تأثیر تغییر اقلیم بر متغیرهای اصلی اقلیم (ECVs) در ایران.

• Authors : الهام کدخدا¹; کمال امیدوار² ; آذر زرین³

• Source: Iranian Journal of Geophysics (IJG). 2024, Vol. 18 Issue 2, Following p1-17. 18p.

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Toward a Monte Carlo approach to selecting climate variables in MaxEnt.

• Authors : Schnase JL; Office of Computational and Information Sciences and Technology, NASA Goddard Space Flight Center, Greenbelt, Maryland, United States of America.; Carroll ML

Subjects: Climate Change* ; Monte Carlo Method*; Ecosystem

• Source: PloS one [PLoS One] 2021 Mar 03; Vol. 16 (3), pp. e0237208. Date of Electronic Publication: 2021 Mar 03 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Modelling of Genotype × Environment interaction for grain yield of late maturity maize hybrids in Serbia by climate variables.

• Authors : Pavlov, Jovan¹; Delić, Nenad¹; Čamdžija, Zoran¹

Subjects: *GENOTYPE-environment interaction; *CORN; *GRAIN yieldsSERBIA

• Source: Chilean Journal of Agricultural Research. Apr2024, Vol. 84 Issue 2, p144-153. 10p.

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Investigating the contribution of climate variables to estimates of net primary productivity in a tropical deciduous forest in India.

• Authors : Tripathi P; Centre for Oceans, Rivers, Atmosphere and Land Sciences (CORAL), IIT Kharagpur, Kharagpur, West Bengal, India. .; International Centre for Integrated Mountain Development, Khumaltar, G.P.O. Box 3226,, Lalitpur, Kathmandu, Nepal. .

Subjects: Climate Change* ; Ecosystem* ; Environmental Monitoring*

• Source: Environmental monitoring and assessment [Environ Monit Assess] 2020 Jan 27; Vol. 191 (Suppl 3), pp. 798. Date of Electronic Publication: 2020 Jan 27.Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959

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Vegetation Changes and Dynamics of the Climate Variables in Southern Thailand over the Past 1500 Years.

• Authors : Wang, Jian¹ (AUTHOR) ; Sha, Lijuan¹ (AUTHOR) ; He, Jin¹ (AUTHOR)

• Source: Minerals (2075-163X). May2024, Vol. 14 Issue 5, p519. 12p.

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Arctic Greening Trends: Change Points in Satellite-Derived Normalized Difference Vegetation Indexes and Their Correlation with Climate Variables over the Last Two Decades.

• Authors : Seo, Minji¹ (AUTHOR) ; Kim, Hyun-Cheol¹ (AUTHOR)

• Source: Remote Sensing. Apr2024, Vol. 16 Issue 7, p1160. 16p.

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Emergent Constraints on Future Changes in Several Climate Variables and Extreme Indices from Global to Regional Scales.

• Authors : Hideo Shiogama¹ ; Michiya Hayashi¹; Nagio Hirota¹

• Source: SOLA. 2024, Vol. 20, p122-129. 8p.

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